Reporting the matching performance of biometrics identification or authentication systems is a controversial issue and perhaps an issue that is not well understood. It seems apparent that False Reject Rates and False Accept Rates are the measurements to express system accuracy. The size of the database of biometrics signals which is used to obtain estimates of the error rates is another important parameter that should be reported along with the error estimates. This database size can be used to compute confidence intervals of the error rates. Further, some indication of the quality of the fingerprint impressions should also be given. This paper develops bootstrap confidence intervals for estimating the accuracy of the error estimates and bootstrap techniques for indicating the quality and diversity of the prints in the database. The size of the database is also related to the accuracy of the error estimates. Results of our experiments on a sample fingerprint database is reported.